Application of K-means Clustering Algorithm in Intrusion Detection
Li Yang · Jisuanji gongcheng · 2007
This paper introduces an intrusion detection model based on clustering analysis and realizes an algorithm of K-means which can set up a database of intrusion detection and classify safe levels.Experiential data are not required to set up this detection system,which is capable of re-classifying intrusion behaviors in terms of related data automatically.Simulation experiments show that the technique possesses strong applicability and self-adaptability.